Open AccessArticle
Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China
by
Xinlin Zhang 1,3,4,5, Yuan Zhao 1,2,3,4,5,*, Qi Sun 1,3,4,5 and Changjian Wang 6
1
School of Geographic Science, Nanjing Normal University, Nanjing 210023, China
2
Ginling College, Nanjing Normal University, Nanjing 210097, China
3
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China
4
State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China
5
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
6
Guangzhou Institute of Geography Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China
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Abstract
Xinjiang’s industrial sector accounted for more than 80% of the total energy-related carbon emissions. A further understanding of each industrial sub-sector’s carbon intensity is very necessary to make differentiated policies and measures. This paper applied index decomposition analysis and attribution analysis to examine
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Xinjiang’s industrial sector accounted for more than 80% of the total energy-related carbon emissions. A further understanding of each industrial sub-sector’s carbon intensity is very necessary to make differentiated policies and measures. This paper applied index decomposition analysis and attribution analysis to examine the influencing factors and each sub-sector’s contributions to the changes in influencing factors. The results demonstrated the following: (1) energy intensity effect contributed most to the decreases in industrial carbon intensity, and
mining and quarrying, foods and tobacco, and
other manufactures were the most representative industrial sub-sectors; (2) energy structure effect showed a positive effect on industrial carbon intensity, but its effect was not significant, and
fuel processing,
smelting and pressing of metals, metal products, and
textile were mainly responsible for the increases in energy structure effect; (3) industrial structure effect showed significant fluctuations, but its accumulative effect promoted the increases in industrial carbon intensity, and
fuel processing, mining and quarrying, and
textiles were the main sub-sectors, which exerted negative effects on the decreases in industrial structure effect; (4)
fuel processing, smelting and pressing of metals, and
mining and quarrying significantly influenced these three decomposed factors from 2000 to 2014; (5) since 2009, energy-intensive sub-sectors increased rapidly, and the energy structure was not optimized, while attention was not paid to controlling the energy efficiency, thus all decomposed factors promoted the increases in industrial carbon intensity; and (6)
mining and quarrying, textiles, fuel processing, and
transport equipment were primarily responsible for the increases in energy structure effect.
Fuel processing, chemicals, and
smelting and pressing of metals were primarily responsible for the increases in energy intensity effect.
Fuel processing,
chemicals, smelting and pressing of metals, and
other manufactures were primarily responsible for the increases in industrial structure effect.
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